pulsemcp Safe content atomic mcp-remote

MultiViewer for F1

MCP server implementation by Rob Spectre that provides AI assistants with complete control over MultiViewer, a desktop application for watching Formula 1 and other motorsports with multiple synchronized video streams. The implementation offers three interfaces: a Python library for programmatic control, a Click-based CLI for StreamDeck integrations and automation, and an MCP server exposing tools for creating, deleting, and manipulating video players, accessing F1 and WEC live timing data, and synchronizing playback across multiple streams. Built with GraphQL integration to MultiViewer's local API (localhost:10101), the server enables AI agents to orchestrate complex multi-stream viewing experiences including picture-in-picture layouts, driver onboard positioning, commentary synchronization, and real-time race data integration, making it valuable for motorsports enthusiasts who want conversational control over their viewing setup and broadcasters needing automated stream management during live events.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: media
Source: PulseMCP
Repository: github.com/robspectre/mvf1
Author type: human
Updated: 2026-04-29

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MCP

Resolve MultiViewer for F1 from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"